Group WH. The ICD-10 classification of psychological and behavioural problems: scientific descriptions and diagnostic tips. World Well being Group; 1992.
Bhola P, Chaturvedi SK. Neurasthenia: tracing the journey of a protean illness. Int Rev Psychiatry. 2020;32(5–6):491–9.
Stephan KE, Bach DR, Fletcher PC, Flint J, Frank MJ, Friston KJ, Heinz A, Huys QJM, Owen MJ, Binder EB, et al. Charting the panorama of precedence issues in psychiatry, half 1: classification and prognosis. Lancet Psychiatry. 2016;3(1):77–83.
Huys QJ, Maia TV, Frank MJ. Computational psychiatry as a bridge from neuroscience to scientific functions. Nat Neurosci. 2016;19(3):404–13.
Ghiasi S, Dell’Acqua C, Benvenuti SM, Scilingo EP, Gentili C, Valenza G, Greco A. Classifying subclinical melancholy utilizing EEG spectral and connectivity measures. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:2050–3.
de Aguiar Neto FS, Rosa JLG. Melancholy biomarkers utilizing non-invasive EEG: a evaluate. Neurosci Biobehav Rev. 2019;105:83–93.
Damborska A, Honzirkova E, Bartecek R, Horinkova J, Fedorova S, Ondrus S, Michel CM, Rubega M. Altered directed useful connectivity of the best amygdala in melancholy: high-density EEG research. Sci Rep. 2020;10(1):4398.
Grin-Yatsenko VA, Baas I, Ponomarev VA, Kropotov JD. EEG energy spectra at early levels of depressive problems. J Clin Neurophysiol. 2009;26(6):401–6.
Leuchter AF, Cook dinner IA, Hunter AM, Cai C, Horvath S. Resting-state quantitative electroencephalography reveals elevated neurophysiologic connectivity in melancholy. PLoS ONE. 2012;7(2):e32508.
Fingelkurts AA, Fingelkurts AA, Rytsala H, Suominen Ok, Isometsa E, Kahkonen S. Impaired useful connectivity at EEG alpha and theta frequency bands in main melancholy. Hum Mind Mapp. 2007;28(3):247–61.
Olbrich S, Trankner A, Chittka T, Hegerl U, Schonknecht P. Purposeful connectivity in main melancholy: elevated section synchronization between frontal cortical EEG-source estimates. Psychiatry Res. 2014;222(1–2):91–9.
Neznamov GG, Bochkarev VK, Siuniakov SA, Grishin SA. [Characteristics of ladasten effect in Neurasthenia patients with various EEG parameters]. Eksp Klin Farmakol. 2008;71(4):18–25.
Neznamov GG, Bochkarev VK, Reutova MA, Shabanova AA, Siuniakov SA. [Ladasten versus placebo effect self-evaluated by Neurasthenia patients with different EEG alpha rhythm types]. Eksp Klin Farmakol. 2012;75(5):7–13.
Delorme A, Makeig S. EEGLAB: an open supply toolbox for evaluation of single-trial EEG dynamics together with unbiased part evaluation. J Neurosci Strategies. 2004;134(1):9–21.
Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM. Brainstorm: a user-friendly software for MEG/EEG evaluation. Comput Intell Neurosci. 2011;2011:879716.
Haueisen J, Ramon C, Eiselt M, Brauer H, Nowak H. Affect of tissue resistivities on neuromagnetic fields and electrical potentials studied with a finite component mannequin of the top. IEEE Trans Biomed Eng. 1997;44(8):727–35.
Hämäläinen MS, Ilmoniemi RJ. Decoding magnetic fields of the mind: minimal norm estimates. Med Biol Eng Comput. 1994;32(1):35–42.
Toll RT, Wu W, Naparstek S, Zhang Y, Narayan M, Patenaude B, De Los Angeles C, Sarhadi Ok, Anicetti N, Longwell P, et al. An Electroencephalography Connectomic Profile of Posttraumatic stress dysfunction. Am J Psychiatry. 2020;177(3):233–43.
Zhang Y, Wu W, Toll RT, Naparstek S, Maron-Katz A, Watts M, et al. Identification of psychiatric dysfunction subtypes from useful connectivity patterns in resting-state electroencephalography. Nat Biomed Eng. 2021;5(4):309–23. https://doi.org/10.1038/s41551-020-00614-8. Epub 2020 Oct 19. PMID: 33077939; PMCID: PMC8053667.
Oostenveld R, Fries P, Maris E, Schoffelen JM. FieldTrip: open supply software program for superior evaluation of MEG, EEG, and invasive electrophysiological information. Comput Intell Neurosci. 2011;2011:156869.
Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CM. An improved index of phase-synchronization for electrophysiological information within the presence of volume-conduction, noise and sample-size bias. NeuroImage. 2011;55(4):1548–65.
Chen AC, Oathes DJ, Chang C, Bradley T, Zhou ZW, Williams LM, Glover GH, Deisseroth Ok, Etkin A. Causal interactions between fronto-parietal central govt and default-mode networks in people. Proc Natl Acad Sci U S A. 2013;110(49):19944–9.
Maris E, Oostenveld R. Nonparametric statistical testing of EEG- and MEG-data. J Neurosci Strategies. 2007;164(1):177–90.
Zalesky A, Fornito A, Bullmore ET. Community-based statistic: figuring out variations in mind networks. NeuroImage. 2010;53(4):1197–207.
Austin PC. An introduction to Propensity rating strategies for lowering the consequences of confounding in Observational research. Multivar Behav Res. 2011;46(3):399–424.
Lunardon N, Menardi G, Torelli N. ROSE: a bundle for binary imbalanced studying. R J 2014, 6(1).
Breiman L. Random forests. Mach Study. 2001;45:5–32.
Taylor RE. Loss of life of Neurasthenia and its psychological reincarnation: a research of Neurasthenia on the Nationwide Hospital for the aid and treatment of the paralysed and epileptic, Queen Sq., London, 1870–1932. Br J Psychiatry. 2001;179:550–7.
Corridor BJ, Chang Ok, Chen W, Sou KL, Latkin C, Yeung A. Exploring the affiliation between melancholy and shenjing shuairuo in a inhabitants consultant epidemiological research of Chinese language adults in Guangzhou, China. Transcult Psychiatry. 2018;55(6):733–53.
Group WH. Melancholy and different frequent psychological problems: world well being estimates. In. World Well being Group; 2017.
Huang Y, Wang Y, Wang H, Liu Z, Yu X, Yan J, Yu Y, Kou C, Xu X, Lu J, et al. Prevalence of psychological problems in China: a cross-sectional epidemiological research. Lancet Psychiatry. 2019;6(3):211–24.
Kleinman A. Neurasthenia and melancholy: a research of somatization and tradition in China. Cult Med Psychiatry. 1982;6(2):117–90.
Chang DF, Myers HF, Yeung A, Zhang Y, Zhao J, Yu S. Shenjing Shuairuo and the DSM-IV: prognosis, misery, and incapacity in a Chinese language major care setting. Transcult Psychiatry. 2005;42(2):204–18.
钟友彬 抑郁症和神经衰弱. 中国神经精神疾病杂志 1986, 2.
Shweder RA. Struggling in model. Cult Med Psychiatry. 1988;12(4):479–97.
Kroenke Ok, Zhong X, Theobald D, Wu J, Tu W, Carpenter JS. Somatic signs in sufferers with most cancers experiencing ache or melancholy: prevalence, incapacity, and well being care use. Arch Intern Med. 2010;170(18):1686–94.
Cao J, Wei J, Fritzsche Ok, Toussaint AC, Li T, Jiang Y, Zhang L, Zhang Y, Chen H, Wu H, et al. Prevalence of DSM-5 somatic symptom dysfunction in Chinese language outpatients from basic hospital care. Gen Hosp Psychiatry. 2020;62:63–71.
Xiong N, Zhang Y, Wei J, Leonhart R, Fritzsche Ok, Mewes R, Hong X, Cao J, Li T, Jiang J, et al. Operationalization of diagnostic standards of DSM-5 somatic symptom problems. BMC Psychiatry. 2017;17(1):361.
Bekhuis E, Boschloo L, Rosmalen JG, de Boer MK, Schoevers RA. The affect of somatic signs on the course of main depressive dysfunction. J Have an effect on Disord. 2016;205:112–8.
Deco G, Jirsa VK, McIntosh AR. Rising ideas for the dynamical group of resting-state exercise within the mind. Nat Rev Neurosci. 2011;12(1):43–56.
Grin-Yatsenko VA, Baas I, Ponomarev VA, Kropotov JD. Impartial part strategy to the evaluation of EEG recordings at early levels of depressive problems. Clin Neurophysiol. 2010;121(3):281–9.
Jaworska N, Blier P, Fusee W, Knott V. Alpha energy, alpha asymmetry and anterior cingulate cortex exercise in depressed women and men. J Psychiatr Res. 2012;46(11):1483–91.
Kemp AH, Griffiths Ok, Felmingham KL, Shankman SA, Drinkenburg W, Arns M, Clark CR, Bryant RA. Dysfunction specificity regardless of comorbidity: resting EEG alpha asymmetry in main depressive dysfunction and post-traumatic stress dysfunction. Biol Psychol. 2010;85(2):350–4.
Olbrich S, Arns M. EEG biomarkers in main depressive dysfunction: discriminative energy and prediction of remedy response. Int Rev Psychiatry. 2013;25(5):604–18.
Fulton MK, Armitage R, Rush AJ. Sleep electroencephalographic coherence abnormalities in people at excessive danger for melancholy: a pilot research. Biol Psychiatry. 2000;47(7):618–25.
Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Giant-Scale Community Dysfunction in Main Depressive dysfunction: a Meta-analysis of resting-state useful connectivity. JAMA Psychiatry. 2015;72(6):603–11.
Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, Tendolkar I. Resting-state useful connectivity in main depressive dysfunction: a evaluate. Neurosci Biobehav Rev. 2015;56:330–44.
Dell’Acqua C, Ghiasi S, Messerotti Benvenuti S, Greco A, Gentili C, Valenza G. Elevated useful connectivity inside alpha and theta frequency bands in dysphoria: a resting-state EEG research. J Have an effect on Disord. 2021;281:199–207.
Ahn J, Han DH, Hong JS, Min KJ, Lee YS, Hahm BJ, Kim SM. Options of resting-state Electroencephalogram Theta coherence in somatic symptom dysfunction in contrast with main depressive dysfunction: a pilot research. Psychosom Med. 2017;79(9):982–7.
Kostandov EA, Kurova NS, Cheremushkin EA, Petrenko NE, Ashkinazi ML. Synchronization of EEG theta and alpha rhythms in an unconscious set to the notion of an emotional facial features. Neurosci Behav Physiol. 2010;40(2):197–204.
Womelsdorf T, Vinck M, Leung LS, Everling S. Selective theta-synchronization of choice-relevant info subserves goal-directed conduct. Entrance Hum Neurosci. 2010;4:210.
Andersen SB, Moore RA, Venables L, Corr PJ. Electrophysiological correlates of anxious rumination. Int J Psychophysiol. 2009;71(2):156–69.
Crespo-Garcia M, Cantero JL, Pomyalov A, Boccaletti S, Atienza M. Purposeful neural networks underlying semantic encoding of associative reminiscences. NeuroImage. 2010;50(3):1258–70.
Herrera-Guzman I, Gudayol-Ferre E, Herrera-Abarca JE, Herrera-Guzman D, Montelongo-Pedraza P, Padros Blazquez F, Pero-Cebollero M, Guardia-Olmos J. Main depressive dysfunction in restoration and neuropsychological functioning: results of selective serotonin reuptake inhibitor and twin inhibitor melancholy therapies on residual cognitive deficits in sufferers with main depressive dysfunction in restoration. J Have an effect on Disord. 2010;123(1–3):341–50.
Okonogi T, Sasaki T. Theta-Vary oscillations in stress-Induced Psychological problems as an Oscillotherapeutic Goal. Entrance Behav Neurosci. 2021;15:698753.
Mu Y, Han S. Neural oscillations concerned in self-referential processing. NeuroImage. 2010;53(2):757–68.
Moreno FA, Heninger GR, McGahuey CA, Delgado PL. Tryptophan depletion and danger of melancholy relapse: a potential research of tryptophan depletion as a possible predictor of depressive episodes. Biol Psychiatry. 2000;48(4):327–9.
Kudina TA, Sudnitsyn VV, Kutyreva EV, Kichigina VF. The serotonin reuptake inhibitor fluoxetine suppresses theta oscillations within the electroencephalogram of the rabbit hippocampus. Neurosci Behav Physiol. 2004;34(9):929–33.
Gomez-Lombardi A, Costa BG, Gutierrez PP, Carvajal PM, Rivera LZ, El-Deredy W. The cognitive triad community – oscillation – behaviour hyperlinks particular person variations in EEG theta frequency with process efficiency and efficient connectivity. Sci Rep. 2024;14(1):21482.
Bastos AM, Schoffelen JM. A Tutorial Evaluate of Purposeful Connectivity Evaluation strategies and their interpretational pitfalls. Entrance Syst Neurosci. 2015;9:175.
Li G, Zhong H, Wang J, Yang Y, Li H, Wang S, Solar Y, Qi X. Machine studying methods reveal Aberrated Multidimensional EEG traits in sufferers with Melancholy. Mind Sci 2023, 13(3).
Hordacre B, Comacchio Ok, Williams L, Hillier S. Repetitive transcranial magnetic stimulation for post-stroke melancholy: a randomised trial with neurophysiological perception. J Neurol. 2021;268(4):1474–84.
Youssef N, Xiao S, Liu M, Lian H, Li R, Chen X, Zhang W, Zheng X, Li Y, Li Y. Purposeful mind networks in delicate cognitive impairment primarily based on resting electroencephalography indicators. Entrance Comput Neurosci. 2021;15:698386.
Cai M, Dang G, Su X, Zhu L, Shi X, Che S, Lan X, Luo X, Guo Y. Figuring out delicate cognitive impairment in Parkinson’s Illness with Electroencephalogram Purposeful Connectivity. Entrance Ageing Neurosci. 2021;13:701499.
Schuller T, Gruendler TOJ, Smith EE, Baldermann JC, Kohl S, Fischer AG, Visser-Vandewalle V, Ullsperger M, Kuhn J, Huys D. Efficiency monitoring in obsessive-compulsive dysfunction: insights from inside capsule/nucleus accumbens deep mind stimulation. Neuroimage Clin. 2021;31:102746.
